A Class Of Iterative Thresholding Algorithms For Real-Time Image Segmentation

M. H. Hassan

doi:10.1117/12.960272

27 March 1989 A Class Of Iterative Thresholding Algorithms For Real-Time Image Segmentation

M. H. Hassan

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Proceedings Volume 1002, Intelligent Robots and Computer Vision VII; (1989) https://doi.org/10.1117/12.960272
Event: 1988 Cambridge Symposium on Advances in Intelligent Robotics Systems, 1988, Boston, MA, United States

Abstract

Thresholding algorithms are developed for segmenting gray-level images under nonuniform illumination. The algorithms are based on learning models generated from recursive digital filters which yield to continuously varying threshold tracking functions. A real-time region growing algorithm, which locates the objects in the image while thresholding, is developed and implemented. The algorithms work in a raster-scan format, thus making them attractive for real-time image segmentation in situations requiring fast data throughput such as robot vision and character recognition.

Citation Download Citation

M. H. Hassan "A Class Of Iterative Thresholding Algorithms For Real-Time Image Segmentation", Proc. SPIE 1002, Intelligent Robots and Computer Vision VII, (27 March 1989); doi: 10.1117/12.960272; https://doi.org/10.1117/12.960272

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